Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/9810#discussion_r45426058
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
---
@@ -607,6 +607,89 @@ object ScalaReflection extends ScalaReflection {
}
}
}
+
+ /**
+ * Validates a type for encoder recursively. If it's not supported,
i.e. there is no encoder can
+ * be built for this type, an [[UnsupportedOperationException]] will be
thrown with detailed
+ * error message to explain the type path walked so far and which class
we are not supporting.
+ * There are 4 kinds of type path:
+ * * the root type: `root class: "abc.xyz.MyClass"`
+ * * the value type of [[Option]]: `option value class:
"abc.xyz.MyClass"`
+ * * the element type of [[Array]] or [[Seq]]: `array element class:
"abc.xyz.MyClass"`
+ * * the field of [[Product]]: `field (class: "abc.xyz.MyClass", name:
"myField")`
+ */
+ def validateTypeForEncoder(tpe: `Type`): Unit = {
+ val clsName = getClassNameFromType(tpe)
+ validateTypeForEncoder(tpe, s"""- root class: "${clsName}"""" :: Nil)
+ }
+
+ private def validateTypeForEncoder(tpe: `Type`, walkedTypePath:
Seq[String]): Unit =
--- End diff --
I tried but stuck with array handling. For array we use `MapObjects` and
call `extractorFor` lazily as a function parameter. Any ideas for it?
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